This repository contains demo example intended to demonstrate the structure exploiting solution method of the MPOPF problems. Additionaly, it contains benchmark environment that can be used to reproduce the results from the technical report:
@misc{1807.03964,
title={Complete results for a numerical evaluation of interior point solvers for large-scale optimal power flow problems},
author={Juraj Kardos and Drosos Kourounis and Olaf Schenk and Ray Zimmerman},
year={2018},
eprint={1807.03964},
archivePrefix={arXiv},
primaryClass={math.OC}
}
MATPOWER Version 7.0, 19-Jun-2019. MATPOWER is a package of Matlab M-files for solving power flow and optimal power flow problems. It is intended as a simulation tool for researchers and educators that is easy to use and modify. For more information visit https://matpower.org
MIPS MATPOWER Interior Point Solver for nonlinear programming. For more information see: H. Wang, C.E. Murillo-Sanchez, R.D. Zimmerman, R.j.Thomas, "On Computational Issues of Market-Based Optimal power flow", IEEE Transactions on power Systems, Vol. 22, No. 3, Aug. 2007, pp. 1185-1193.
IPOPT Version 3.12.10, a library for large-scale nonlinear optimization. Ipopt is released as open source code under the Eclipse Public License (EPL). For more information visit http://projects.coin-or.org/Ipopt. The precompiled binary for the Linux system can be obtained from http://www.beltistos.com
BELTISTOS, suite of high-performance OPF algorithms including extremely scalable and low memory multiperiod OPF solver. For more information visit http://www.beltistos.com
PARDISO Vers. 6.0, Runtime Modules of Parallel Sparse Linear Solver. Copyright Universita della Svizzera Italiana 2000-2018. All Rights Reserved. For more information visit https://www.pardiso-project.org
For KNITRO solver visit https://www.artelys.com/solvers/knitro/.
Obtain the framework at http://www.beltistos.com. You will also need to
obtain the licence from the same website. The licence should
be located in $(HOME)/pardiso.lic file. When running also the MPOPF benchmarks,
you will need a Matpower add-on implementing the MPOPF model (available at
http://beltistos.com/#download). When you have all the dependencies, please updates
the paths in the benchmark_MATPOWER.m script to reflect their location at your system.
The idea of the benchmark suite is to specify all parameters for a series of benchmarks
that shall be run, and execute the run script which iterates over all benchmark configurations.
Set the parameters related to the problem specification and solver in the
configuration file config.sh and execute the file runBench.sh to run the benchmarks.
The file config.sh allows the user to specify which benchmarks to run. First,
specify the power grids using the array grids.
The initial point is configured using OPFstarts.
The OPF problem formulation is specified via OPFvoltages and OPFbalances arrays.
Next, specify the number of time periods (Nperiods) and storage devices (Nstorages).
If Nperiods=1 a standard OPF problem is run. For Nperiods>1 the MPOPF problem with
Nstorage devices is run.
Finally, specify which solvers should be used to solve the benchmarks using solvers array.
The benchmarks are executed using the parameters specified in these array as following:
for OPFcase in "${grids[@]}"; do
for OPFsolver in "${solvers[@]}"; do
for OPFstart in "${OPFstarts[@]}"; do
for OPFvoltage in "${OPFvoltages[@]}"; do
for OPFbalance in "${OPFbalances[@]}"; do
for Nperiod in "${Nperiods[@]}"; do
for Nstorage in "${Nstorages[@]}"; do
benchmark_MATPOWER($Nperiod, $Nstorage, '$OPFcase',$OPFsolver, $OPFstart, $OPFvoltage, $OPFbalance)
In order to extract additional information from the Matpower (e.g. constraint violations), you need to apply the patch 'matpower.patch'. Please make sure you apply the patch to the Matpower v7.0 (e.g. do git checkout 7.0 in the Matpower git repository).